Predictors of perceived value of multi-cancer early detection testing: a national PRECEDE-PROCEED framework study.

IF 2.1
Duxiao Hao, Chuan-Jian Zhong, Safa Elkefi
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引用次数: 0

Abstract

Background: Multi-cancer early detection (MCED) tests present a paradigm transform in cancer screening by detecting multiple cancer types from one blood sample. While studies have shown high levels of public interest in MCED screening, little is known about factors shaping individuals' perception of the emerging technology. Guided by the PRECEDE-PROCEED framework, we aimed to identify factors associated with the perception of value of MCED testing among American adults.

Methods: We conducted a cross-sectional secondary analysis of the Health Information National Trends Survey cycle 7 (HINTS 7) to identify factors associated with the perceived value of MCED screening. After removing respondents with missing outcome data, our final sample size was 6,728. Using the PRECEDE-PROCEED framework, candidate predictors were grouped into predisposing, reinforcing, and enabling factors. We used descriptive, survey-weighted analyses, spearman correlation analyses, survey-weighted multivariable logistic regression, and supervised machine learning analyses (logistic regression and random forest) to explore the associations.

Results: Overall, 74.9% of the sample perceived MCED testing as very valuable. Trust-related domains showed the strongest associations with the outcome, including trust in physicians (OR = 1.89), trust in science (OR = 1.80), and trust in the healthcare system (OR = 1.64). Cancer information seeking (OR = 1.59), online health information use (OR = 1.63), smartphone access (OR = 1.54), cancer fatalistic beliefs (OR = 1.52), trust in government (OR = 1.50), knowledge of hepatitis B as a cancer risk factor (OR = 1.48), and family history of cancer (OR = 1.45) were also significantly associated with higher perceived value. Machine learning analyses demonstrated consistent predictor rankings, highlighting trust and health information engagement as the most influential determinants.

Conclusions: The value of MCED screening was largely driven by trust, cancer information seeking, and access to healthcare and health information resources. Our study highlights the efficacy of the PRECEDE-PROCEED approach to studying factors associated with complex health outcomes. Future implementation strategies should prioritize equitable communication, strengthen public trust, and improve access to reliable health information to facilitate informed decision-making regarding MCED testing.

多癌早期检测的感知价值预测因素:一项全国性的pre - proceed框架研究。
背景:多种癌症早期检测(MCED)测试通过从一个血液样本中检测多种癌症类型,为癌症筛查提供了一种范式转变。虽然研究表明公众对MCED筛查的兴趣很高,但人们对影响个人对这项新兴技术看法的因素知之甚少。在pre - proceed框架的指导下,我们旨在确定与美国成年人对MCED检测价值感知相关的因素。方法:我们对健康信息国家趋势调查周期7 (HINTS 7)进行了横断面二次分析,以确定与MCED筛查的感知价值相关的因素。在剔除结果数据缺失的受访者后,我们的最终样本量为6,728。使用pre - proceed框架,候选预测因子被分为易感因素、强化因素和使能因素。我们使用描述性、调查加权分析、spearman相关分析、调查加权多变量逻辑回归和监督机器学习分析(逻辑回归和随机森林)来探索这些关联。结果:总体而言,74.9%的样本认为MCED检测非常有价值。信任相关领域显示出与结果最强的关联,包括对医生的信任(OR = 1.89)、对科学的信任(OR = 1.80)和对医疗系统的信任(OR = 1.64)。癌症信息搜索(OR = 1.59)、在线健康信息使用(OR = 1.63)、智能手机访问(OR = 1.54)、癌症宿命论信仰(OR = 1.52)、对政府的信任(OR = 1.50)、乙型肝炎作为癌症危险因素的知识(OR = 1.48)和癌症家族史(OR = 1.45)也与较高的感知价值显著相关。机器学习分析显示了一致的预测因子排名,强调信任和健康信息参与是最具影响力的决定因素。结论:MCED筛查的价值在很大程度上受到信任、癌症信息寻求以及获得医疗保健和健康信息资源的驱动。我们的研究强调了pre - proceed方法在研究复杂健康结果相关因素方面的有效性。未来的实施战略应优先考虑公平沟通,加强公众信任,改善获得可靠卫生信息的途径,以促进就MCED检测作出知情决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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